A Study on Particle Fuzzy Reasoning Method

Author

Shimakawa, Manabu

Author_Institution

Kumamoto Nat. Coll. of Technol., Kumamoto

fYear

2007

fDate

5-7 Sept. 2007

Firstpage

14

Lastpage

14

Abstract

General fuzzy reasoning methods, e.g. Mamdani´s method and the same kinds, can deal with fuzzy input and fuzzy output. But, its fuzzy outcomes are liable to be complex shape membership function. Therefore, its representative value is generally obtained by defuzzification technique, and is used as a reasoning result. This paper proposes the Particle Fuzzy Reasoning Method that deals with fuzzy input and fuzzy output, too. This method makes the input fuzzy set discrete values, and considers them to be particles. Each particle is used for general fuzzy reasoning as an input. The reasoning results from the particles are united into one. If a fuzzy number is given as an input, the fuzzy outcome becomes a fuzzy number.

Keywords

fuzzy reasoning; fuzzy set theory; number theory; defuzzification technique; fuzzy number; fuzzy set discrete value outcome; particle fuzzy reasoning method; Computational complexity; Educational institutions; Equations; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Large scale integration; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on

Conference_Location

Kumamoto

Print_ISBN

0-7695-2882-1

Type

conf

DOI

10.1109/ICICIC.2007.96

Filename

4427661